Package: BayesSUR 2.2-1

Zhi Zhao

BayesSUR: Bayesian Seemingly Unrelated Regression Models in High-Dimensional Settings

Bayesian seemingly unrelated regression with general variable selection and dense/sparse covariance matrix. The sparse seemingly unrelated regression is described in Bottolo et al. (2021) <doi:10.1111/rssc.12490>, the software paper is in Zhao et al. (2021) <doi:10.18637/jss.v100.i11>, and the model with random effects is described in Zhao et al. (2024) <doi:10.1093/jrsssc/qlad102>.

Authors:Marco Banterle [aut], Zhi Zhao [aut, cre], Leonardo Bottolo [ctb], Sylvia Richardson [ctb], Waldir Leoncio [ctb], Alex Lewin [aut], Manuela Zucknick [aut]

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BayesSUR/json (API)
NEWS

# Install BayesSUR in R:
install.packages('BayesSUR', repos = c('https://mbant.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/mbant/bayessur/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • exampleEQTL - Simulated data set to mimic a small expression quantitative trait loci (eQTL) example
  • exampleGDSC - Preprocessed data set to mimic a small pharmacogenomic example
  • targetGene - TargetGene

On CRAN:

9 exports 7 stars 1.99 score 18 dependencies 1 mentions 833 downloads

Last updated 4 days agofrom:ea356854dea9e892fb4bc9b5c09157e561c6fcc6

Exports:BayesSURelpdgetEstimatorplotCPOplotEstimatorplotGraphplotManhattanplotMCMCdiagplotNetwork

Dependencies:clicpp11digestfilehashglueigraphlatticelifecyclemagrittrMatrixpkgconfigpngRcppRcppArmadillorlangtikzDevicevctrsxml2

BayesSUR with random effects

Zhi Zhao

Rendered fromBayesSUR-RE.Rmdusingknitr::rmarkdownon Jun 28 2024.

Last update: 2024-06-12
Started: 2023-11-30

BayesSUR: An R package for high-dimensional multivariate Bayesian variable and covariance selection in linear regression

Rendered fromBayesSUR.pdf.asisusingR.rsp::asison Jun 28 2024.

Last update: 2019-12-04
Started: 2019-12-04